FID3023 Research Methodology in Computer Science 7.5 credits

Forskningsmetodik inom Datavetenskap

In recent years, relating descriptions of research to the Sustainable Development Goals has become very important. To relate here entails more than the trivial fact that engineering improvements affects energy consumption positively. All the goals will be scrutinized in the course and a guest lecturer will contribute an external perspective.

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Offering and execution

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Course information

Content and learning outcomes

Course contents *

The course includes but is not limited to: models and their properties, experiments, sustainability, ethics, and statistical methods.

Intended learning outcomes *

After the course, the student will be able to:
- evaluate different scientific research methods in computer science.
- describe how these methods can be used in their own research.
- analyze computability and reproducibility in their own research.
- design, conduct, present, analyze, and summarize experiments.
- apply basic statistical methods applicable within computer science.
- analyze professional responsibility and ethical aspects specific to computer science.
- identify elements in own research relevant to the KTH- and the UN sustainability development goals.

Course Disposition

The planned course activities are: seminars, written reports, exercises, and presentations.

Literature and preparations

Specific prerequisites *

Doctoral students

Recommended prerequisites

Master Degree

Equipment

None, lab work can be done on personal computing devices or on available servers.

Literature

Selected research publications. Course material.
Exact contents to be determined later.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale *

P, F

Examination *

  • EXA1 - Written exam, 7.5 credits, Grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

 Assignments.

Other requirements for final grade *

 Active participation and fulfilled assignments.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

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Examiner

Magnus Boman

Ethical approach *

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web FID3023

Offered by

EECS/Software and Computer Systems

Main field of study *

No information inserted

Education cycle *

Third cycle

Add-on studies

No information inserted

Postgraduate course

Postgraduate courses at EECS/Software and Computer Systems